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vehicles, cloud computing, computational algebra, cyber-physical systems, cybersecurity, high-performance architecture, information theory, logic, programming languages, parallel heterogeneous computing
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or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
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14 Nov 2025 Job Information Organisation/Company IMT Mines Ales Department Human Ressources Department Research Field Computer science » Other Researcher Profile Leading Researcher (R4) Positions
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. Solid experience in C++ programming and FPGA development. Familiarity with signal processing, analog/digital electronics, high-throughput data processing, and parallel computing. Strong analytical skills
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hold weekly in-person or remote office hours (one hour per week). Additionally, instructors will attend weekly planning meetings to coordinate between parallel sections taught on different days. NEUR 102
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community by building, integrating, and maintaining Linux-based resources, high-performance computing cluster systems, and Kubernetes clusters. This role provides extensive expertise in High Performance
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translational bioinformatics platforms to support the mission of precision medicine. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
); STR genotyping using capillary sequencer, primer design; Sanger sequencing; massively parallel sequencing (sequencing by synthesis); experience in Illumina platforms and chemistries preferred. Salary
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of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3
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for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms